from typing import Iterator

from langchain_core.documents import Document

from langchain_community.document_loaders.base import BaseBlobParser
from langchain_community.document_loaders.blob_loaders import Blob


class MsWordParser(BaseBlobParser):
    """Parse the Microsoft Word documents from a blob."""

    def lazy_parse(self, blob: Blob) -> Iterator[Document]:  # type: ignore[valid-type]
        """Parse a Microsoft Word document into the Document iterator.

        Args:
            blob: The blob to parse.

        Returns: An iterator of Documents.

        """
        try:
            from unstructured.partition.doc import partition_doc
            from unstructured.partition.docx import partition_docx
        except ImportError as e:
            raise ImportError(
                "Could not import unstructured, please install with `pip install "
                "unstructured`."
            ) from e

        mime_type_parser = {
            "application/msword": partition_doc,
            "application/vnd.openxmlformats-officedocument.wordprocessingml.document": (
                partition_docx
            ),
        }
        if blob.mimetype not in (  # type: ignore[attr-defined]
            "application/msword",
            "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
        ):
            raise ValueError("This blob type is not supported for this parser.")
        with blob.as_bytes_io() as word_document:  # type: ignore[attr-defined]
            elements = mime_type_parser[blob.mimetype](file=word_document)  # type: ignore[attr-defined]  # type: ignore[operator]  # type: ignore[operator]  # type: ignore[operator]  # type: ignore[operator]  # type: ignore[operator]  # type: ignore[operator]
            text = "\n\n".join([str(el) for el in elements])
            metadata = {"source": blob.source}  # type: ignore[attr-defined]
            yield Document(page_content=text, metadata=metadata)